Hostname: page-component-89b8bd64d-ksp62 Total loading time: 0 Render date: 2026-05-12T00:00:46.360Z Has data issue: false hasContentIssue false
  • English
  • Français

Expert Systems in Statistics

Published online by Cambridge University Press:  07 July 2009

D.J. Hand
D.J. Hand
Affiliation:
Biometrics Unit, Institute of Psychiatry, De Crespigny Park, London SES 8AF
Get access Rights & Permissions [Opens in a new window]

Abstract

Statistical expert systems are attracting increasing attention as a possible way to alleviate the shortage of expert consultant statisticians. This paper summarises the requirements of such systems, showing how the demands of data analysis are different from those of other fields, and describes some recent work.

Information

Type
Research Article
Information
The Knowledge Engineering Review , Volume 1 , Issue 3 , September 1984 , pp. 2 - 10
Copyright
Copyright © Cambridge University Press 1984

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable

References

REFERENCES

[1]Chambers, J.M. (1981) Some thoughts on expert software. Proc. Comp. Sci. and Statistics, 13th Symposium on the Interface.CrossRefGoogle Scholar
[2]Chambers, J.M., Pregibon, D., and Zayas, E.R. (1981) Expert software for data analysis – an initial experiment. Proceedings of the 43rd session of the International Statistical Institute, Buenos Aires.Google Scholar
[3]Hahn, G.T. (1985) More intelligent statistical software and statistical expert systems: future directions. The American Statistician, 39, p1–16, with discussion.CrossRefGoogle Scholar
[4]Hand, D.J. (1984) Statistical expert systems: design. The Statistician, 33, p351–369.CrossRefGoogle Scholar
[5]Hand, D.J. (1985) The role of statistics in psychiatry. Psychological Medicine, 15, p471–476.CrossRefGoogle ScholarPubMed
[6]Hand, D.J. (1985) Statistical expert systems: necessary attributes. Journal of Applied Statistics, 12, p19–27.CrossRefGoogle Scholar
[7]Hand, D.J. (1985) Artificial Intelligence and Psychiatry, Cambridge University Press, Cambridge.Google Scholar
[8]Pearl, J. (1984) Heuristics: intelligent search strategies for computer problem solving. Addison-Wesley, Massachusetts.Google Scholar
[9]Slatter, P.E. (1985) Cognitive emulation in expert system design. The Knowledge Engineering Review, 1, (2), p28–40.CrossRefGoogle Scholar
[10]Upton, G. J. G. (1982) A comparison of alternative tests for the 2×2 comparative trial. Journal of the Royal Statistical Society, 145, p86–105.CrossRefGoogle Scholar
[11]Gale, W.A. (1986) Student phase 1 — a report on work in progress. In Artificial Intelligence and Statistics, ed. Gale, W., Addison-Wesley.Google Scholar
[12]Gale, W.A. and Pregibon, D. (1982) An expert system for regression analysis. Proceedings of the 14th Symposium on the Interface, ed. Heiner, , Sacher, , and Wilkinson, , p1 10–117, Springer-Verlag, New York.Google Scholar
[13]Hajck, P. and Havranek, T. (1982) GUHA-80 — an application of artificial intelligence to data analysis. Pocitacea umela inteligencia, 1, p 107–134.Google Scholar
[14]Hajek, P. and Ivanek, J. (1982) Artificial intelligence and data analysis. COMPSTAT-82, Physica-Verlag, Vienna.Google Scholar
[15]Hand, D.J. (1985) Patterns in statistical strategy. In Artificial Intelligence and Statistics, ed. Gale, W., Addison-Wesley, Massachusetts.Google Scholar
[16]Oldford, R.W. and Peters, S.C. (1984) Building a statistical knowledge based system with mini-Mycin. Proc. of the ASA: Statistical Computing Section.Google Scholar
[17]Oldford, R.W. and Peters, S.C. (1985) Implementation and study of statistical strategy. In Artificial Intelligence and Statistics, ed. Gale, W., Addison-Wesley, Massachusetts.Google Scholar
[18]Pregibon, D. (1985) A do-it-yourself guide to statistical strategy. In Artificial Intelligence and Statistics, ed. Gale, W., Addison-Wesley, Massachusetts.Google Scholar
[19]Pregibon, D. and Gale, W. (1984) REX: an expert system for regression analysis. COMPSTAT-84, Prague, Czechoslovakia.Google Scholar
[20]Wetherill, G.B., Daffin, C., and Duncombe, P. (1985) A user-friendly survey analysis program. Bulletin of the International Statistical Institute, 45th Session, Vol. 3, Amsterdam, 08, p20.4–l to 20.4–14.Google Scholar
[21]Hakong, L., and Hickman, F.R. (1985) Expert system techniques: an application in statistics. In Expert Systems 85, ed. Merry, M., Cambridge University Press, Cambridge, p43–63.Google Scholar
[22]Hand, D. J. (1985) Choice of statistical techniques. Bulletin of the International Statistical Institute, Proceedings of the 45th Session, Vol. 3, Amsterdam, 08, p21.1–l to 21.1–16.Google Scholar
[23]O'Keefe, R. (1982) An expert system for statistics. Paper presented at the Technical Conference on Theory and Practice of Knowledge Based Systems, Brunei University.Google Scholar
[24]Ellman, T. (1986) Representation of statistical computations: towards expert systems with a deeper understanding of statistics. In Artificial Intelligence and Statistics, ed. Gale, W., Addison-Wesley, Massachusetts.Google Scholar
[25]Thisted, R.A. (1985) Representing statistical knowledge and search strategies for expert data analysis systems. In Artificial Intelligence and Statistics, ed. Gale, W., Addison-Wesley, Massachusetts.Google Scholar
[26]Finn, J.D. and Bock, R.D. (1981) MULTISTAT/MULTIVARIANCE manual. National Educational Resources Ince., Chicago.Google Scholar
[27]Smith, A.M.R., Lee, L.S., and Hand, D.J. (1983) Interactive user-friendly interfaces to statistical packages. The Computer Journal, 26, p 199–204.CrossRefGoogle Scholar
[28]Sundgren, B. (1985) How to satisfy a statistical agency's need for general survey processing programs. Bulletin of the International Statistical Institute, Proceedings of the 45th Session, Vol. 3, Amsterdam, 08, p20.1–1 to 20.1–10.Google Scholar